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Exploiting Event Log Event Attributes in RNN Based Prediction
In predictive process analytics, current and historical process data in event logs is used to predict the future, e. g., to predict the next activity or how long a process will still require to complete.
Classifying Process Instances Using Recurrent Neural Networks
Recurrent neural networks and its subclasses, such as Gated Recurrent Unit (GRU) and Long Short-Term Memory (LSTM), have been demonstrated to be able to learn relevant temporal features for subsequent classification tasks.
Structural Feature Selection for Event Logs
The main motivation is to provide machine learning based techniques with quick response times for interactive computer assisted root cause analysis.
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